The map below shows majority race by area in Arroyo Seco, as self-identified on the US census. Darker shades indicate a larger racial majority in that neighborhood. This page also contains data and maps on Arroyo Seco racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Arroyo Seco overall is white, making up 54.5% of residents. The next most-common racial group is hispanic at 42.1%. There are more white people in the south areas of the city. People who identify as hispanic are most likely to be living in the central places. The data below shows how many people identify themselves as each of the following races, which most Americans base on their family's national origin:
Race in Arroyo Seco
Self-Identified Race |
Arroyo Seco, NM Population |
|---|---|
White |
54.5% |
Hispanic |
42.1% |
Black |
0.0% |
Asian |
0.0% |
Native American |
1.4% |
Other |
2.0% |
Diversity and Diversity Scores for Arroyo Seco, NM
The map below shows diversity in Arroyo Seco. Areas in green are more diverse, while areas in red are much less diverse. Diversity, in this case, means a mixture of people with different race and ethnicity living close to one another. For example, all-black and all-white areas in the city would both be considered lacking diversity.
Arroyo Seco Diversity Score
52.5
More diverse than 87% of US cities
Arroyo Seco has a diversity score of 52.5: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Arroyo Seco is much more diverse than other US cities, more diverse than 87% of them. Within Arroyo Seco's proper boundaries, the most diverse area is northwest Arroyo Seco, and the least diverse areas are in south Arroyo Seco.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.